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» 2D and 3D Shape Based Segmentation Using Deformable Models
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87
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ICVGIP
2004
15 years 1 months ago
Facial Model Improvement Using 3D Texture Mapping Feedback
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...
Yongjie Liu, Anup Basu, Jong-Seong Kim
ECCV
2000
Springer
15 years 4 months ago
Minimal Paths in 3D Images and Application to Virtual Endoscopy
This paper presents a new method to find minimal paths in 3D images, giving as initial data one or two endpoints. This is based on previous work [1] for extracting paths in 2D ima...
Thomas Deschamps, Laurent D. Cohen
96
Voted
ICPR
2004
IEEE
16 years 1 months ago
A Deformable Model Driven Method for Handling Clothes
A model-driven method for handling clothes by two manipulators based on observation with stereo cameras is proposed. The task considered in this paper is to hold up a specific par...
Yasuyo Kita, Fuminori Saito, Nobuyuki Kita
116
Voted
PR
2007
136views more  PR 2007»
14 years 12 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
CVPR
2010
IEEE
15 years 7 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon